Real-Time Monitoring of Biomedical Signals to Improve Road Safety

被引：6
|
作者：
Miguel Morales, Jose [1 ]
Luigi Di Stasi, Leandro [2 ]
Diaz-Piedra, Carolina [2 ]
Morillas, Christian [1 ]
Romero, Samuel [1 ]
机构：
[1] Univ Granada, Brain Comp Interface Lab, Dept Comp Architecture & Technol, Granada, Spain
[2] Univ Granada, Mind Brain & Behav Res Ctr CIMCYC, Granada, Spain
来源：
ADVANCES IN COMPUTATIONAL INTELLIGENCE, PT I (IWANN 2015) | 2015年 / 9094卷
关键词：
Brain waves; Electrocardiogram (ECG); Electroencephalogram (EEG); Fatigue; Gaze tracking; Road safety; Wearable;
D O I：
10.1007/978-3-319-19258-1_8
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Fatigue at the wheel has been strongly related to car accidents. Traditionally, this phenomenon has been studied in laboratory conditions by means of performance testing. Here, we aimed to improve road safety assessing driver fatigue at the wheel in real scenarios. For this purpose, we have built BioTracker (R) : a flexible non invasive platform. A smartphone and a microcontroller unit are the core of sysetm. In this paper, we describe BioTracker (R), and we present some examples of its implementation.
引用
收藏
页码：89 / 97
页数：9
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